41.198.158.38 Threat Intelligence - South Africa | IP Address Lookup
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General
IP Address
41.198.158.38
Location
πΏπ¦ Johannesburg, South Africa
Network
AS327693
Threat Score
5/100
Attack Intelligence
Noticed
1 time
Protocols Attacked
fake mitre
Geographic Location
Country
South Africa
City
Johannesburg
Region
Gauteng
Coordinates
-26.2309, 28.0583
Network Information
ASN
AS327693
Organization
Echotel Pty Ltd
Network
AS327693 Echotel Pty Ltd
WHOIS Information
inetnum
41.198.128.0 - 41.198.159.255
netname
NET_41_198_128
descr
Infrastructure and Customer Services
country
ZA
org
ORG-EPL3-AFRINIC
admin-c
AS62-AFRINIC
tech-c
CC15-AFRINIC
status
ASSIGNED PA
mnt-by
ECHO-ISP-MNT
mnt-lower
ECHO-ISP-MNT
mnt-domains
ECHO-ISP-MNT
parent
41.198.128.0 - 41.198.191.255
organisation
ORG-EPL3-AFRINIC
org-name
Echotel Pty Ltd
org-type
LIR
address
1st Floor, Block B, Monte Circle, 178 Montecasino Boulevard
phone
tel:+27-87-310-1700
mnt-ref
AFRINIC-HM-MNT
person
Anthony Southgate
nic-hdl
AS62-AFRINIC
route
41.198.128.0/18
origin
AS327693
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-10-24 | Webexploit Mitre T1593 Ip List 2026 10 24 | Multiple | View Log |
| 2026-10-24 | Webexploit Fake Googlebot Ip List 2026 10 24 | Multiple | View Log |
| 2026-10-21 | Webexploit Mitre T1593 Ip List 2026 10 21 | Multiple | View Log |
| 2026-10-21 | Webexploit Fake Googlebot Ip List 2026 10 21 | Multiple | View Log |
| 2026-07-15 | Webexploit Mitre T1593 Ip List 2026 07 15 | Multiple | View Log |
| 2026-07-15 | Webexploit Fake Googlebot Ip List 2026 07 15 | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 41.198.158.38 and was generated either as a result of observed malicious activity or as an information gathering exercise to assist with enrichment of security events and context. All information is gathered passively through aggregation of public sources, or observations through activity upon honeynets. The host score is calculated through a series of statistically weighted values and machine learning which takes into account metadata such as host information, frequency, volume and global distribution of malicious activity, association with other known malicious hosts or networks, proxying or anonymising behaviour such as with tor exit nodes, residential proxies or VPN services, and many other attributes. These values are historical and indicative only, and should not be taken to be an accurate representation of the users, businesses or networks in which they reside.